Search Results for author: Silvio Amir

Found 18 papers, 4 papers with code

On-the-fly Definition Augmentation of LLMs for Biomedical NER

1 code implementation29 Mar 2024 Monica Munnangi, Sergey Feldman, Byron C Wallace, Silvio Amir, Tom Hope, Aakanksha Naik

In this work we set out to improve LLM performance on biomedical NER in limited data settings via a new knowledge augmentation approach which incorporates definitions of relevant concepts on-the-fly.


Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges

no code implementations8 Sep 2023 Hiba Ahsan, Denis Jered McInerney, Jisoo Kim, Christopher Potter, Geoffrey Young, Silvio Amir, Byron C. Wallace

Our method entails tasking an LLM to infer whether a patient has, or is at risk of, a particular condition on the basis of associated notes; if so, we ask the model to summarize the supporting evidence.

Information Retrieval Retrieval

Revisiting Relation Extraction in the era of Large Language Models

no code implementations8 May 2023 Somin Wadhwa, Silvio Amir, Byron C. Wallace

Relation extraction (RE) is the core NLP task of inferring semantic relationships between entities from text.

Relation Relation Extraction +1

Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs

no code implementations5 May 2023 Somin Wadhwa, Jay DeYoung, Benjamin Nye, Silvio Amir, Byron C. Wallace

However, results from RCTs are presented in (often unstructured) natural language articles describing the design, execution, and outcomes of trials; clinicians must manually extract findings pertaining to interventions and outcomes of interest from such articles.

RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media

no code implementations12 Oct 2022 Somin Wadhwa, Vivek Khetan, Silvio Amir, Byron Wallace

Using this corpus, we introduce the task of retrieving trustworthy evidence relevant to a given claim made on social media.


On the Impact of Random Seeds on the Fairness of Clinical Classifiers

no code implementations NAACL 2021 Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace

Recent work has shown that fine-tuning large networks is surprisingly sensitive to changes in random seed(s).


Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement

no code implementations13 Oct 2020 Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia L. Nobles

The #MeToo movement on Twitter has drawn attention to the pervasive nature of sexual harassment and violence.

Mental Health Surveillance over Social Media with Digital Cohorts

no code implementations WS 2019 Silvio Amir, Mark Dredze, John W. Ayers

The ability to track mental health conditions via social media opened the doors for large-scale, automated, mental health surveillance.

Quantifying Mental Health from Social Media with Neural User Embeddings

1 code implementation30 Apr 2017 Silvio Amir, Glen Coppersmith, Paula Carvalho, Mário J. Silva, Byron C. Wallace

Our experimental results demonstrate that the user embeddings capture similarities between users with respect to mental conditions, and are predictive of mental health.

Representation Learning

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